Evidence map›Paper›PMID 34618291›Full record

ArticleJournal of clinical monitoring and computing2022

Hypotension Prediction Index with non-invasive continuous arterial pressure waveforms (ClearSight): clinical performance in Gynaecologic Oncologic Surgery.

Luciano Frassanito, Pietro Paolo Giuri, Francesco Vassalli, Alessandra Piersanti, Alessia Longo, Bruno Antonio Zanfini, Stefano Catarci, Anna Fagotti, Giovanni Scambia, Gaetano Draisci

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
10.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05354661 completednot on this map

Non-Invasive Hemodynamic Monitoring and Incidence of Perioperative Hypotension in Gynaecologic Oncologic Surgery: Hypotension Prediction Index Working With ClearSight Versus Arterial Waveform Analysis Alone

TypeobservationalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2019 to 2022Enrolled68ConditionsHypotension, Hemodynamic Instability, Gynecologic CancerArmsHypotension Prediction Index
NCT06097052 completednot on this mapstarted 2023, after this paper: background citation

The Effect of Hypotension Predictive Index on Intraoperative Hypotension Events and Duration During Pancreatic Surgery. A Retrospective Pre-post Observational Study.

TypeobservationalSponsorIstituto Clinico HumanitasRan2023 to 2024Enrolled48ConditionsHypotension During Surgery, Perioperative ComplicationArmsHypotension Predictive Index
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  19. New technologies in anesthesia and intensive care: take your ticket for the future.Journal of anesthesia, analgesia and critical care · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Luciano FrassanitoDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy. lucfras75@hotmail.com.ORCID 0000-0001-6406-2591
Pietro Paolo GiuriDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Francesco VassalliDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Alessandra PiersantiDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Alessia LongoEdwards Lifesciences Italia, Irvine, CA, USA.
Bruno Antonio ZanfiniDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Stefano CatarciDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Anna FagottiDepartment of Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Giovanni ScambiaDepartment of Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Gaetano DraisciDepartment of Scienze dell'Emergenza, Anestesiologiche e della Rianimazione, IRCCS Fondazione Policlinico A. Gemelli, Rome, Italy.
Agostino Gemelli University Polyclinic · ITEdwards Lifesciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative hypotension (IOH) is common during major surgery and is associated with a poor postoperative outcome. Hypotension Prediction Index (HPI) is an algorithm derived from machine learning that uses the arterial waveform to predict IOH. The aim of this study was to assess the diagnostic ability of HPI working with non-invasive ClearSight system in predicting impending hypotension in patients undergoing major gynaecologic oncologic surgery (GOS). In this retrospective analysis hemodynamic data were downloaded from an Edwards Lifesciences HemoSphere platform and analysed. Receiver operating characteristic curves were constructed to evaluate the performance of HPI working on the ClearSight pressure waveform in predicting hypotensive events, defined as mean arterial pressure < 65 mmHg for > 1 min. Sensitivity, specificity, positive predictive value and negative predictive value were computed at a cutpoint (the value which minimizes the difference between sensitivity and specificity). Thirty-one patients undergoing GOS were included in the analysis, 28 of which had complete data set. The HPI predicted hypotensive events with a sensitivity of 0.85 [95% confidence interval (CI) 0.73-0.94] and specificity of 0.85 (95% CI 0.74-0.95) 15 min before the event [area under the curve (AUC) 0.95 (95% CI 0.89-0.99)]; with a sensitivity of 0.82 (95% CI 0.71-0.92) and specificity of 0.83 (95% CI 0.71-0.93) 10 min before the event [AUC 0.9 (95% CI 0.83-0.97)]; and with a sensitivity of 0.86 (95% CI 0.78-0.93) and specificity 0.86 (95% CI 0.77-0.94) 5 min before the event [AUC 0.93 (95% CI 0.89-0.97)]. HPI provides accurate and continuous prediction of impending IOH before its occurrence in patients undergoing GOS in general anesthesia.

Indexed as

Arterial PressureHypotensionAnesthesia, GeneralFemaleHumansRetrospective StudiesSensitivity and SpecificityGynaecologic Oncologic SurgeryHemodynamic monitoringHypotension predictionIntraoperative hypotensionMachine learningVolume clamp method

Identifiers

PMID34618291
PMCPMC8496438
OpenAlexW3202317530

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.